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BigCodeBench / BigCodeBench v0.1.0_hf 913a3402-ddf3-55ab-b8d7-d19f826cef36

Problem

Answer published by the source. Consult the official source to check your work against its answer.

complete prompt

from collections import defaultdict
from operator import itemgetter
from itertools import groupby

def task_func(news_articles):
    """
    Sort a list of news articles by "category" and "title." The news articles are then grouped by "category."

    Parameters:
    news_articles (list): A list of dictionaries where each dictionary represents
    a news article with keys 'title', 'title_url', 'id', and 'category'.

    Returns:
    dict: A dictionary where the keys are categories and the values are lists
    of articles sorted by 'title' in that category. Each article is represented as a dictionary
    with keys 'title', 'title_url', 'id', and 'category'.

    Raises:
    ValueError: If dictionary keys do not match the requirements.

    Requirements:
    - collections.defaultdict
    - operator.itemgetter
    - itertools.groupby

    Example:
    >>> articles = [{'title': 'Apple News', 'title_url': 'Apple_News', 'id': 2, 'category': 'Technology'},
    ...             {'title': 'New York Times', 'title_url': 'New_York_Times', 'id': 4, 'category': 'Sports'},
    ...             {'title': 'USA Today', 'title_url': 'USA_Today', 'id': 6, 'category': 'Health'}]
    >>> sorted_articles = task_func(articles)
    >>> print(sorted_articles)
    defaultdict(<class 'list'>, {'Health': [{'title': 'USA Today', 'title_url': 'USA_Today', 'id': 6, 'category': 'Health'}], 'Sports': [{'title': 'New York Times', 'title_url': 'New_York_Times', 'id': 4, 'category': 'Sports'}], 'Technology': [{'title': 'Apple News', 'title_url': 'Apple_News', 'id': 2, 'category': 'Technology'}]})

    >>> articles = [
    ...        {'title': 'Der Standard', 'title_url': 'standard', 'id': 2, 'category': 'climate'},
    ...        {'title': 'tecky', 'title_url': 'tecky', 'id': 4, 'category': 'climate'},
    ...        {'title': 'earth magazine', 'title_url': 'earth', 'id': 4, 'category': 'environment'}
    ...    ]
    >>> sorted_articles = task_func(articles)
    >>> print(sorted_articles)
    defaultdict(<class 'list'>, {'climate': [{'title': 'Der Standard', 'title_url': 'standard', 'id': 2, 'category': 'climate'}, {'title': 'tecky', 'title_url': 'tecky', 'id': 4, 'category': 'climate'}], 'environment': [{'title': 'earth magazine', 'title_url': 'earth', 'id': 4, 'category': 'environment'}]})
    """

instruct prompt

Sort a list of news articles by "category" and "title." The news articles are then grouped by "category." >>> articles = [ ...        {'title': 'Der Standard', 'title_url': 'standard', 'id': 2, 'category': 'climate'}, ...        {'title': 'tecky', 'title_url': 'tecky', 'id': 4, 'category': 'climate'}, ...        {'title': 'earth magazine', 'title_url': 'earth', 'id': 4, 'category': 'environment'} ...    ] >>> sorted_articles = task_func(articles) >>> print(sorted_articles) defaultdict(<class 'list'>, {'climate': [{'title': 'Der Standard', 'title_url': 'standard', 'id': 2, 'category': 'climate'}, {'title': 'tecky', 'title_url': 'tecky', 'id': 4, 'category': 'climate'}], 'environment': [{'title': 'earth magazine', 'title_url': 'earth', 'id': 4, 'category': 'environment'}]})
The function should raise the exception for: ValueError: If dictionary keys do not match the requirements.
The function should output with:
    dict: A dictionary where the keys are categories and the values are lists
    of articles sorted by 'title' in that category. Each article is represented as a dictionary
    with keys 'title', 'title_url', 'id', and 'category'.
You should write self-contained code starting with:

Code

from collections import defaultdict
from operator import itemgetter
from itertools import groupby
def task_func(news_articles):

code prompt

Code

from collections import defaultdict
from operator import itemgetter
from itertools import groupby
def task_func(news_articles):

entry point

task_func

libs

  • operator
  • collections
  • itertools

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Source and history

Official source

initial import